Evidence map›Paper›PMID 40575150›Full record

ArticlePsychiatry research communications2025

Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence.

Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Brianna N Lepore, Mariah Chobany, Halimah Abdul-Waalee, Greeshma Malgireddy, Jonathan A Hart, Michele A Bertocci and 1 more

Abstract read
In one paragraph

Article in Psychiatry research communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Farzan VahedifardDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Boris BirmaherDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Satish IyengarDepartment of Statistics, University of Pittsburgh, USA.
Maria WolfeDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.ORCID 0009-0002-9624-3615
Brianna N LeporeDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Mariah ChobanyDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.ORCID 0000-0003-3118-8432
Halimah Abdul-WaaleeDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Greeshma MalgireddyDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Jonathan A HartDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.
Michele A BertocciDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.ORCID 0000-0002-3857-1226
Rasim S DilerDepartment of Psychiatry, University of Pittsburgh School of Medicine, USA.

Funding

From Manic Symptoms to Bipolar Disorder: Neural-behavioral Markers Using Two Analytic ModelsR01MH121451 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BERTOCCI, MICHELE A, DILER, RASIM SOMER · 2020 to 2025
$3.6M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NIH HHS S10 OD028483NIMH NIH HHS R01 MH121451
6 · The paper itself

Abstract

Measures of daily activity may be objective markers to help differentiate adolescent bipolar disorder (BD). We used chart reviewed actigraphy data collected from 2014 to 2023, and AI methods to classify well-characterized inpatient adolescents diagnosed with

Identifiers

PMID40575150
PMCPMC12199408

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.